Objective Clustering Inductive Technology of gene expression profiles Based on SOTA Clustering Algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F17%3A43893192" target="_blank" >RIV/44555601:13440/17:43893192 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.7124/bc.000961" target="_blank" >http://dx.doi.org/10.7124/bc.000961</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7124/bc.000961" target="_blank" >10.7124/bc.000961</a>

Result language

angličtina

Original language name

Objective Clustering Inductive Technology of gene expression profiles Based on SOTA Clustering Algorithm

Original language description

Development of the objective clustering inductive technology of gene expression profiles based on self-organizing SOTA clustering algorithm. Methods. Inductive methods of complex systems analysis were used as the basis to implement the objective clustering inductive technol- ogy of gene expression profiles. To determine optimal parameters of clustering algorithm opera- tion internal clustering quality criteria, external criterion and complex balance criterion were calculated. Results. Architecture of the objective clustering inductive technology based on SOTA clustering algorithm and step-by-step procedure of its implementation are presented in the paper. Charts of the internal, external and complex balance criteria versus algorithm?s parameters were obtained during simulation process. Analysis of the charts allows determining of the optimal parameters of the algorithm operation. Conclusion. Obtained results of the simulation have shown high effectiveness of the proposed technology. In case of gene expression profiles processing this approach creates the conditions for implementing the step-by-step cluster-bicluster technology of the data grouping at early stage of the gene regulatory network reconstruction.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biopolymers and Cell

ISSN

0233-7657

e-ISSN

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Volume of the periodical

2017

Issue of the periodical within the volume

33(5)

Country of publishing house

UA - UKRAINE

Number of pages

14

Pages from-to

379-392

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85040925997